Abstract
The multiple watermarking algorithm is present for vector geographic data based on the characteristics of vector data. In the embedding progress multiple watermarks were embedded additively in the cover data following additivity rule. In the detection progress the additive watermarks were extracted and then the contents of watermarks were detected on the basis of correlation detection together with discriminant analysis. In the experiments the robustness and adaptability were analyzed. The results show that the proposed multiple watermarking algorithm is robust against common attacks and suit for the vector geographic data with small amount of vertexes.
C. Zhu—Co-corresponding author.
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Acknowledgment
The work was supported by the National Natural Science Foundation of China (grant No. 41401518), and the Natural Science Foundation of Jiangsu Province (grant No. BK20140066), the special scientific research of public service industry on state surveying and mapping (grant No. 201512019), a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
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Wang, Y., Yang, C., Zhu, C., Ren, N., Chen, P. (2017). A Novel Multiple Watermarking Algorithm Based on Correlation Detection for Vector Geographic Data. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_49
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DOI: https://doi.org/10.1007/978-981-10-3966-9_49
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